@inproceedings{759af862562d4e27b5cd0ecad00637df,
title = "Predicting and explaining success and task duration in the phoenix planner",
abstract = "Phoenix is a multi-agent planning system that fights simulated forest-fires. In this paper we describe an experiment with Phoenix in which we uncover factors that affect the planner's behavior and test predictions about the planner's robustness against variations in some of these factors. We also introduce a technique - path analysis - for constructing and testing causal explanations of the planner's behavior.",
author = "Hart, {David M.} and Cohen, {Paul R.}",
year = "1992",
doi = "10.1016/b978-0-08-049944-4.50018-5",
language = "English (US)",
isbn = "155860250X",
series = "Proc 1 Int Conf Artif Intell Plann Syst",
publisher = "Publ by Morgan Kaufmann Publ Inc",
pages = "106--115",
booktitle = "Proc 1 Int Conf Artif Intell Plann Syst",
note = "Proceedings of the 1st International Conference on Artificial Intelligence Planning Systems ; Conference date: 15-06-1992 Through 17-06-1992",
}